metadata

license: bigscience-bloom-rail-1.0
tags:
  - generated_from_trainer
model-index:
  - name: bloom-560m-finetuned-the-stack-cobol
    results: []
widget:
  - text: |-
      IDENTIFICATION DIVISION.
       PROGRAM-ID. HELLO.


      DATA DIVISION.
       WORKING-STORAGE SECTION.
       01 WS-NAME PIC A(30).
       01 WS-ID PIC 9(5) VALUE 12345.


      PROCEDURE DIVISION

bloom-560m-finetuned-the-stack-cobol

This model is a fine-tuned version of bigscience/bloom-560m on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0341

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 5e-05
train_batch_size: 1
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
0.7749	1.31	1000	1.0341

Framework versions

Transformers 4.24.0
Pytorch 1.13.0+cu117
Datasets 2.5.1
Tokenizers 0.13.0